hierarchical group 中文意思是什麼

hierarchical group 解釋
分級成組
  • hierarchical : adj. 1. 僧侶統治(集團)的。2. 統治集團的。3. 等級(制度)的。adv. -cally
  • group : n 1 群;批,簇。2 集團,團體,小組。3 【化學】基,團,組;(周期表的)屬,族。4 (雕塑等的)群像...
  1. A variety of methods including the tabular comparison of data, the tabular comparison of similarity coefficient, the nearest neighbor method and the group - average method of hierarchical agglomerative classification were applied to investigate the forest communities in meizi lake area

    森林植被樣地中以喬木層樹種的重要值為指標,採用紙條排隊法、群落相似系數分類法、最近鄰體法、組平均法對梅子湖森林植被樣地進行數量分類。
  2. In this study three scales were used to measure a sample of 802 students selected from 4 middle schools by hierarchical random group sampling, and 766 available copies of scales were adopted to collect data which was processed with spss 10. 0

    本研究採用量表測量法,以分層整群隨機抽樣法抽取樣本。從四所中學隨機抽取初中和高中14個自然班共計802人組成樣本,有效問卷766份。
  3. 1. a new complex hierarchical structure, group cluster, is firstly proposed. expanded from traditional tree structure, the group cluster can illustrate the complex system

    獨創性地提出了復雜的層次式協作系統結構? ?群簇,對傳統的「樹」型層次結構加以擴充,使其能夠描述由多個協作群體組成的復雜大系統(群體的群體) 。
  4. The " centered command, distributed decision " in modern c4isr system can be realized through horizontal intra - group cooperation and vertical inter - group cooperation. 4. a new group awareness mechanism, dhga, and a new cooperation control mechanism, dhcc, are proposed for the dynamic hierarchical cooperation of cooperation model dreascom, and their performance are also evaluated

    國防科學技術大學研究生院學位論文3 .建立了基於群簇結構的復雜的動態實時強協同協作模型dreascom ,通過協作群體內成員之間的橫向自主協作和不同協作群體之間的縱向協作控制,實現了新一代作戰指揮控制系統中的「集中控制、分佈決策」 ,提供了對新一代作戰指揮控制系統中動態、實時、強協同的協作行為的支持。
  5. By using hierarchical analysis, it was found that music preference is a valid predictor of emotional intelligence even after a group of variables including gender, locus of control, type - a personality and stress have been statistically controlled

    本研究並應用階層?歸分析的方法,發現在控制了相關的變項之後,音樂偏好仍能有效的預測情緒智力,顯示音樂偏好是一個具有效力的預測變項。
  6. It learns from the basic thought of hierarchical clustering methods ( hcm ), which groups objects by comparing the sizes of distance or similar coefficients between objects, meanwhile, combines with the optimal split - plot designs ( ospd ) in ordered samples, and synthesizes the intuitive property of hcm and the character of simplicity and the ability in finding out the accurate solution of ospd. with history data, this paper assumes that data from the same group come from the same distribution, and so do the history data

    本文汲取了系統聚類法中通過定義距離或相似系數並以其大小將對象進行分類的基本思想,將之與有序樣本情況下的最優分割法相結合,吸收了系統聚類法的直觀性和最優分割法的簡捷性及可以求出精確最優解的良好性質,在存在歷史數據的條件下,假設同類數據來自於同一分佈,歷史數據相應的來自該分佈。
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